Fixed-Rank Representation for Image Classification Using ANN and KNN
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4
Abstract
Abstract: This study is focused on development an application of an efficient algorithm for subspace clustering and feature extraction that used for classification. Some previous techniques for subspace clustering make use of rank minimization and sparse based such as SSC and LRR are computationally expensive and may degrade clustering performance. So the need is to solve the problems of existing techniques, an algorithm is introduced known as Fixed-Rank Representation i.e. FRR based on matrix factorization is used for subspace clustering and feature extraction and that features are used for classification. For classification we use k-nearest neighbour and neural network classifiers and compare their accuracy or performance to classify the feature extracted from FRR.
Authors and Affiliations
M. A. Zahed Javeed , Prof: Shubhangi Sapkal , Dr. R. R. Deshmukh
Keywords
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- EP ID EP88696
- DOI 0.9790/0661-16437074
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